amplify
Analyst - Pricing & Business Analytics
At a Glance
- Location
- Baltimore MD, United States
- Employment
- Full time
- Experience
- 2–5 years
- Compensation
- salary range for this role is $85,000 - $95,000. This role is eligible to ear
- Posted
- 2026-03-04
Key Requirements
Required Skills
Domain Knowledge
- Finance
- Insurance
- Marketing
Benefits & Perks
) plan, competitive health insurance and mental health options, basic life i
Requirements
Bachelor's degree required
2-5 years of experience in data analytics, business analytics, pricing, or related field
Experience in extracting, transforming, and analyzing large datasets from Snowflake data warehouse using SQL
Nice to have:
Experience in a commercial, finance, pricing, or revenue-focused role
Compensation & Benefits
Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $85,000 - $95,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.
Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email
hiringaccommodations@amplify.com
.
.
Responsibilities
:
Data Management & Technical Analysis
Extract, transform, and analyze large datasets from Snowflake data warehouse using SQL
Pull and reconcile financial and operational data from NetSuite ERP system
Perform statistical analysis to identify pricing opportunities and risks
Collaborate with data teams to ensure data accuracy and availability